Package: SpaceTimeBSS 0.4-0

Klaus Nordhausen

SpaceTimeBSS: Blind Source Separation for Multivariate Spatio-Temporal Data

Simultaneous/joint diagonalization of local autocovariance matrices to estimate spatio-temporally uncorrelated random fields.

Authors:Christoph Muehlmann [aut], Nikolaus Piccolotto [aut], Claudia Cappello [aut], Sandra De Iaco [aut], Klaus Nordhausen [aut, cre]

SpaceTimeBSS_0.4-0.tar.gz
SpaceTimeBSS_0.4-0.tar.gz(r-4.7-arm64)SpaceTimeBSS_0.4-0.tar.gz(r-4.7-x86_64)SpaceTimeBSS_0.4-0.tar.gz(r-4.6-arm64)SpaceTimeBSS_0.4-0.tar.gz(r-4.6-x86_64)
SpaceTimeBSS_0.4-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SpaceTimeBSS/json (API)

# Install 'SpaceTimeBSS' in R:
install.packages('SpaceTimeBSS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • meteo_veneto - Climate and Meteorological Deseasonalized Data in Veneto

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.00 score 655 downloads 3 exports 7 dependencies

Last updated from:c526dd416a. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK200
linux-devel-x86_64OK139
source / vignettesOK164
linux-release-arm64OK197
linux-release-x86_64OK146
wasm-releaseOK148

Exports:lacovstbssstkmat

Dependencies:clueclusterJADElatticeMatrixRcppRcppArmadillo